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Found 5 papers, 1 papers with code
RITFIS: Robust input testing framework for LLMs-based intelligent software
To our knowledge, RITFIS is the first framework designed to assess the robustness of LLM-based intelligent software against natural language inputs.
LEAP: Efficient and Automated Test Method for NLP Software
The widespread adoption of DNNs in NLP software has highlighted the need for robustness.
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
Keyword spotting (KWS) based on deep neural networks (DNNs) has achieved massive success in voice control scenarios.
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking
The training of KWS is usually based on deep neural networks and requires a large amount of data.
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
The pandemic of COVID-19 has caused millions of infections, which has led to a great loss all over the world, socially and economically.
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